Marine habitat mapping using multibeam echosounder survey and underwater video observations: a case study from Tioman Marine Park

In recent years, there has been an increasing trend of utilizing high-resolution multibeam echosounder (MBES) datasets and supervised classification via machine learning to create marine habitat maps. The purpose of current study was threefold: (1) to extract bathymetric and backscatter derivatives...

Full description

Saved in:
Bibliographic Details
Main Authors: Muhamad, Muhammad Abdul Hakim, Che Hasan, Rozaimi, Md. Said, Najhan, Mohd. Said, Mohd. Shahmy, Razali, Raiz
Format: Conference or Workshop Item
Language:English
Published: 2023
Subjects:
Online Access:http://eprints.utm.my/107779/1/RozaimiCheHasan2023_MarineHabitatMappingusingMultibeam.pdf
http://eprints.utm.my/107779/
http://dx.doi.org/10.1088/1755-1315/1240/1/012006
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utm.107779
record_format eprints
spelling my.utm.1077792024-10-02T07:32:16Z http://eprints.utm.my/107779/ Marine habitat mapping using multibeam echosounder survey and underwater video observations: a case study from Tioman Marine Park Muhamad, Muhammad Abdul Hakim Che Hasan, Rozaimi Md. Said, Najhan Mohd. Said, Mohd. Shahmy Razali, Raiz G Geography (General) T Technology (General) In recent years, there has been an increasing trend of utilizing high-resolution multibeam echosounder (MBES) datasets and supervised classification via machine learning to create marine habitat maps. The purpose of current study was threefold: (1) to extract bathymetric and backscatter derivatives from a multibeam dataset, (2) to measure the correlation between bathymetric and backscatter derivatives, and (3) to generate a marine habitat map using the Random Forest (RF). Tioman Marine Park (TMP), which is situated Southeast China Sea. MBES surveyed area are encompassed an area of 406 km² and served as the location for the study. Based on results and analysis, fourteen (14) derivative were derived from bathymetry map and backscatter mosaic. The second step involved integrating variables and a total of 152 of habitat ground-truth data were used, derived from underwater imageries, and sediment samples, into an RF model to generate a map of the marine habitat. Based on marine habitat map, six habitat classes including sand, rock, gravel and sand, coral rubble, coral and rock, and coral were classified. The distribution of coral habitat was found to be correlated with the depth of the bathymetry in the shallow water region. Therefore, the study has reached the conclusion that the integration between MBES derivatives, ground-truth data, and RF machine learning algorithm is an effective in classifying the distribution of marine habitats, specifically the coral habitat. 2023 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/107779/1/RozaimiCheHasan2023_MarineHabitatMappingusingMultibeam.pdf Muhamad, Muhammad Abdul Hakim and Che Hasan, Rozaimi and Md. Said, Najhan and Mohd. Said, Mohd. Shahmy and Razali, Raiz (2023) Marine habitat mapping using multibeam echosounder survey and underwater video observations: a case study from Tioman Marine Park. In: 9th International Conference on Geomatics and Geospatial Technology 2023, GGT 2023, 22 May 2023 - 25 May 2023, Kuala Lumpur, Malaysia. http://dx.doi.org/10.1088/1755-1315/1240/1/012006
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic G Geography (General)
T Technology (General)
spellingShingle G Geography (General)
T Technology (General)
Muhamad, Muhammad Abdul Hakim
Che Hasan, Rozaimi
Md. Said, Najhan
Mohd. Said, Mohd. Shahmy
Razali, Raiz
Marine habitat mapping using multibeam echosounder survey and underwater video observations: a case study from Tioman Marine Park
description In recent years, there has been an increasing trend of utilizing high-resolution multibeam echosounder (MBES) datasets and supervised classification via machine learning to create marine habitat maps. The purpose of current study was threefold: (1) to extract bathymetric and backscatter derivatives from a multibeam dataset, (2) to measure the correlation between bathymetric and backscatter derivatives, and (3) to generate a marine habitat map using the Random Forest (RF). Tioman Marine Park (TMP), which is situated Southeast China Sea. MBES surveyed area are encompassed an area of 406 km² and served as the location for the study. Based on results and analysis, fourteen (14) derivative were derived from bathymetry map and backscatter mosaic. The second step involved integrating variables and a total of 152 of habitat ground-truth data were used, derived from underwater imageries, and sediment samples, into an RF model to generate a map of the marine habitat. Based on marine habitat map, six habitat classes including sand, rock, gravel and sand, coral rubble, coral and rock, and coral were classified. The distribution of coral habitat was found to be correlated with the depth of the bathymetry in the shallow water region. Therefore, the study has reached the conclusion that the integration between MBES derivatives, ground-truth data, and RF machine learning algorithm is an effective in classifying the distribution of marine habitats, specifically the coral habitat.
format Conference or Workshop Item
author Muhamad, Muhammad Abdul Hakim
Che Hasan, Rozaimi
Md. Said, Najhan
Mohd. Said, Mohd. Shahmy
Razali, Raiz
author_facet Muhamad, Muhammad Abdul Hakim
Che Hasan, Rozaimi
Md. Said, Najhan
Mohd. Said, Mohd. Shahmy
Razali, Raiz
author_sort Muhamad, Muhammad Abdul Hakim
title Marine habitat mapping using multibeam echosounder survey and underwater video observations: a case study from Tioman Marine Park
title_short Marine habitat mapping using multibeam echosounder survey and underwater video observations: a case study from Tioman Marine Park
title_full Marine habitat mapping using multibeam echosounder survey and underwater video observations: a case study from Tioman Marine Park
title_fullStr Marine habitat mapping using multibeam echosounder survey and underwater video observations: a case study from Tioman Marine Park
title_full_unstemmed Marine habitat mapping using multibeam echosounder survey and underwater video observations: a case study from Tioman Marine Park
title_sort marine habitat mapping using multibeam echosounder survey and underwater video observations: a case study from tioman marine park
publishDate 2023
url http://eprints.utm.my/107779/1/RozaimiCheHasan2023_MarineHabitatMappingusingMultibeam.pdf
http://eprints.utm.my/107779/
http://dx.doi.org/10.1088/1755-1315/1240/1/012006
_version_ 1814043520828178432
score 13.213113